import pandas as pd
[docs]def _text_anno_scatter(
data: pd.DataFrame,
ax,
x: str,
y: str,
edge_color=(0.5, 0.5, 0.5, 0.2),
face_color=(0.8, 0.8, 0.8, 0.2),
palette: dict = None,
dodge_text=False,
anno_col="text_anno",
text_anno_kws=None,
text_transform=None,
dodge_kws=None,
linewidth=0.5,
labelsize=5,
):
"""Add text annotation to a scatter plot"""
# prepare kws
_text_anno_kws = dict(
fontsize=labelsize,
fontweight="black",
horizontalalignment="center",
verticalalignment="center",
)
if text_anno_kws is not None:
_text_anno_kws.update(text_anno_kws)
# plot each text
text_list = []
for text, sub_df in data.groupby(anno_col):
if text_transform is None:
text = str(text)
else:
text = text_transform(text)
if text.lower() in ["", "nan"]:
continue
_x, _y = sub_df[[x, y]].median()
if palette is not None:
_fc = palette[text]
else:
_fc = face_color
text = ax.text(
_x,
_y,
text,
fontdict=_text_anno_kws,
bbox=dict(boxstyle="round", ec=edge_color, fc=_fc, linewidth=linewidth),
)
text_list.append(text)
if dodge_text:
try:
from adjustText import adjust_text
_dodge_parms = dict(
force_points=(0.02, 0.05),
arrowprops=dict(
arrowstyle="->",
fc=edge_color,
ec="none",
connectionstyle="angle,angleA=-90,angleB=180,rad=5",
),
autoalign="xy",
)
if dodge_kws is not None:
_dodge_parms.update(dodge_kws)
adjust_text(text_list, x=data["x"], y=data["y"], **_dodge_parms)
except ModuleNotFoundError:
print(
"Install adjustText package to dodge text, see its github page for help"
)
return
